Functionality to transform, standardize & link your clinical data
- Data profiling
-
Profile and auto-fix data to ensure compatibility for loading in relational databases faster than other platforms
- Mapping to Common Data Models (CDM) including OMOP
-
Map, review & approve data mappings to Common Data Models (CDM), including the Observational Medical Outcomes Partnership (OMOP) Common Data Model, more accurately than other platforms
- Extract, Transform, Load processing
-
End-to-end processing for the entire data standardization lifecycle, scaling across millions of observations, delivering results faster than other platforms
- Standardized data quality reporting
-
Automatically generated reports for evaluating the quality of data, leveraging data quality dashboard tools that are best-in-class
- Data profiling
-
Profile and auto-fix data to ensure compatibility for loading in relational databases faster than other platforms
- Mapping to Common Data Models (CDM) including OMOP
-
Map, review & approve data mappings to Common Data Models (CDM), including the Observational Medical Outcomes Partnership (OMOP) Common Data Model, more accurately than other platforms
- Extract, Transform, Load processing
-
End-to-end processing for the entire data standardization lifecycle, scaling across millions of observations, delivering results faster than other platforms
- Standardized data quality reporting
-
Automatically generated reports for evaluating the quality of data, leveraging data quality dashboard tools that are best-in-class
Certified for OMOP data standardization
Step 1
Create OMOP maps
Step 2
Profile & clean data
Step 3
Map to OMOP
Step 4
Ingest OMOP data
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